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Amazon Redshift Jobs in Ohio (NOW HIRING)

Vertiv

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

... Amazon Redshift. • Experience with Python for data core modernization and data ingestion. • Experience with data pipeline frameworks and tools, such as Apache Airflow, Luigi, or AWS Glue. • ...

Vertiv Group Corp.

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Proficient in one or more data processing and storage technologies, such as Apache Spark/PySpark, Hadoop, or Amazon Redshift. * Experience with Python for data core modernization and data ingestion.

Vertiv Co

Data Engineer - Cloud/AI

Westerville, OH

$110K - $132K/yr

Proficient in one or more data processing and storage technologies, such as Apache Spark/PySpark, Hadoop, or Amazon Redshift. * Experience with Python for data core modernization and data ingestion.

Forhyre

OH

$110K - $132K/yr

... Redshift, or Aurora * Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager * Skilled in Amazon Web Services (AWS) offerings, development, and ...

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Columbus, OH · On-site

$110K - $132K/yr

Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure ... SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle * DevOps: git, docker ...

All JobsAmazon Redshift JobsAmazon Redshift Jobs in Ohio

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$27

$54

$75

How much do amazon redshift jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for amazon redshift in Ohio is $54.24, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $60.58 per hour, depending on experience, location, and employer.

What is the difference between Amazon Redshift vs Data Warehouse Engineer?

AspectAmazon RedshiftData Warehouse Engineer
Primary RoleCloud-based data warehousing service for analyticsDesigning, building, and maintaining data warehouses and ETL processes
Required SkillsSQL, cloud computing, data modeling, AWS servicesSQL, data modeling, ETL tools, database management
Work EnvironmentCloud platforms, AWS ecosystemOn-premises or cloud data warehouse environments
CertificationsAWS certifications, SQL knowledgeData management certifications, SQL expertise

Amazon Redshift is a cloud-based data warehousing service focused on providing scalable analytics within the AWS ecosystem. In contrast, a Data Warehouse Engineer designs and maintains data warehouses, often working with various tools and environments. While both roles require SQL and data modeling skills, Redshift specialists focus on cloud infrastructure, whereas Data Warehouse Engineers handle broader data architecture tasks across different platforms.

What AWS jobs are in high demand?

AWS-related roles such as Cloud Engineer, Solutions Architect, DevOps Engineer, and Cloud Security Specialist are in high demand. These positions often require skills in cloud infrastructure, scripting, and certifications like AWS Certified Solutions Architect or AWS Certified DevOps Engineer.

What does Amazon Redshift do?

Amazon Redshift is a data warehousing service that allows organizations to store and analyze large volumes of structured data efficiently. It enables fast query performance using columnar storage and parallel processing, making it suitable for business intelligence and analytics tasks. Data analysts and database administrators often use Redshift to support data-driven decision-making.

What skills are needed for Redshift?

Amazon Redshift professionals need strong skills in SQL, data warehousing concepts, and database management. Familiarity with cloud computing, ETL processes, and tools like AWS services is also important, along with knowledge of performance optimization and security best practices.

What are the key skills and qualifications needed to thrive as an Amazon Redshift Developer, and why are they important?

To thrive as an Amazon Redshift Developer, you need strong SQL expertise, experience with data warehousing concepts, and a background in computer science or related fields. Familiarity with AWS services (especially Redshift), ETL tools, and relevant certifications like AWS Certified Data Analytics are typically required. Problem-solving, attention to detail, and effective communication are standout soft skills in this role. These skills enable efficient data pipeline development, ensure data integrity, and support collaboration for optimized analytics solutions.

What are some common challenges faced by Amazon Redshift administrators and how can they be addressed?

Amazon Redshift administrators often encounter challenges such as optimizing query performance, managing data loads, and ensuring data security. Performance tuning requires careful management of distribution styles, sort keys, and regular vacuuming to maintain efficiency. Handling large-scale data loads can be addressed by using COPY commands and leveraging parallel processing. Collaboration with data engineers and analysts is essential to understand data usage patterns and set up appropriate monitoring and alerting. Continuous learning and staying updated with AWS enhancements can help administrators proactively resolve issues and optimize the data warehouse environment.

What is Amazon Redshift?

Amazon Redshift is a fully managed, cloud-based data warehouse service provided by Amazon Web Services (AWS). It is designed to handle large-scale data analytics and can process petabytes of structured and semi-structured data quickly and efficiently. Redshift uses SQL to query data and integrates seamlessly with various business intelligence tools, making it a popular choice for organizations looking to analyze big data. Its architecture is based on columnar storage and massively parallel processing (MPP), which enables high performance and scalability.

What companies use Amazon Redshift?

Many large organizations across various industries use Amazon Redshift for data warehousing and analytics, including companies in finance, retail, healthcare, and technology. These companies leverage Redshift's scalability and integration with AWS services to manage large datasets and support business intelligence efforts.
What are popular job titles related to Amazon Redshift jobs in Ohio? For Amazon Redshift jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Amazon Redshift jobs in Ohio look for? The top searched job categories for Amazon Redshift jobs in Ohio are:
What cities in Ohio are hiring for Amazon Redshift jobs? Cities in Ohio with the most Amazon Redshift job openings:
Amazon Redshift jobs near you
Infographic showing various Amazon Redshift job openings in Ohio as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $112,809 per year, or $54.2 per hour.
Data Engineer - Cloud/AI

Data Engineer - Cloud/AI

Vertiv

Westerville, OH • On-site

$110K - $132K/yr

Full-time

Posted 16 days ago

Vertiv rating

6.7

Company rating: 6.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

334th of 433 rated machine equipment manufacturers

Job description

Job Summary:
Vertiv is a global critical infrastructure and data center technology company. As a Data Engineer - Cloud/AI, you will design, build, and maintain scalable data pipelines and architectures, collaborating with various teams to ensure data accuracy and accessibility.
Responsibilities:
• Design, build, and maintain scalable and robust data pipelines and architectures.
• Perform data extraction, cleansing, standardization, and transformation.
• Ensure data is accurate, consistent, and accessible.
• Collaborate with data scientists, analysts, and product teams to deliver data solutions that meet user needs and expectations.
• Troubleshoot and resolve data issues and defects.
• Research new data technologies and tools to enhance skills and improve data quality.
Qualifications:
Required:
• Bachelor’s Degree in Computer Science, Engineering, Mathematics, or related field.
• At least 5 years of experience in data engineering, data pipeline development, and ETL processes.
• Proficient in one or more data processing and storage technologies, such as Apache Spark/PySpark, Hadoop, or Amazon Redshift.
• Experience with Python for data core modernization and data ingestion.
• Experience with data pipeline frameworks and tools, such as Apache Airflow, Luigi, or AWS Glue.
• Experience with data engineering, data warehousing, and ETL processes.
• Strong proficiency in SQL and database design principles.
• Excellent communication, creativity, and problem-solving skills.
Preferred:
• Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP).
• Understanding of emerging technologies (such as Generative AI) and advanced data architectures (i.e.: Multimodal Data Management & Model Design, Data Mesh, Data Fabric, Data Products, etc.).
• Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes.
• Experience with testing frameworks and tools, such as PyTest, Unittest, or Selenium.
• Experience designing and implementing reporting and visualization for unstructured and structured data sets.
• Experience with batch processing and real-time streaming ingestions.
• Certifications or degrees in data engineering, computer science, or related fields.
Company:
Vertiv designs, builds and services critical infrastructure that enables vital applications for data centers and industrial facilities. Founded in 2016, the company is headquartered in Westerville, USA, with a team of 10001+ employees. The company is currently Late Stage.

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